Using a coupled dynamic factor - random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa.

Using a coupled dynamic factor - random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa.

Understanding the drivers of large-scale vegetation change is critical to managing landscapes and key to predicting how projected climate and land use changes will affect regional vegetation patterns. This study aimed to improve our understanding of the role, magnitude, and spatial distribution of t...

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Bibliographic Details
Main Authors: Jane Southworth, Erin Bunting, Likai Zhu, Sadie J Ryan, Hannah V Herrero, Peter Waylen, Rafael Muñoz-Carpena, Miguel A Campo-Bescós, David Kaplan
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0208400

Internet

https://doi.org/10.1371/journal.pone.0208400

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